DocumentCode
3515664
Title
Research on Several Problems in BP Neural Network Application
Author
Huang Duo ; Zhao Xinyu
Author_Institution
Sch. of Bus. Adm., Xi´an Univ. of Technol., Xi´an
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
6713
Lastpage
6716
Abstract
Four problems existing in BP neural network practical application are discussed in this paper: slow converging speed, converging at local minimum, overtraining and poor extrapolating capacity. Comparing advantages and disadvantage of several acceleration algorithms, the paper provides the suggestions of solving those problems. The paper also advances a forecasting model of monthly irrigation return flow based on BP neural network is advanced as a case study.
Keywords
backpropagation; extrapolation; forecasting theory; irrigation; neural nets; BP neural network application; acceleration algorithms; extrapolating capacity; forecasting model; monthly irrigation return flow; Acceleration; Arithmetic; Computer errors; Heuristic algorithms; Intelligent control; Irrigation; Neural networks; Pattern recognition; Predictive models; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.1647
Filename
4341422
Link To Document